protected void populate(Network myNetwork) {
Scenario myScenario = myNetwork.getMyScenario();
// Note: It is assumed that this comes *before* SplitRatioProfile.populate
this.myNetwork = myNetwork;
nOut = 0;
if (getOutputs() != null) {
nOut = getOutputs().getOutput().size();
output_link = new Link[nOut];
for (int i = 0; i < nOut; i++) {
edu.berkeley.path.beats.jaxb.Output output = getOutputs().getOutput().get(i);
output_link[i] = myNetwork.getLinkWithId(output.getLinkId());
}
}
nIn = 0;
if (getInputs() != null) {
nIn = getInputs().getInput().size();
input_link = new Link[nIn];
for (int i = 0; i < nIn; i++) {
edu.berkeley.path.beats.jaxb.Input input = getInputs().getInput().get(i);
input_link[i] = myNetwork.getLinkWithId(input.getLinkId());
}
}
isTerminal = nOut == 0 || nIn == 0;
istrivialsplit = nOut <= 1;
has_profile = false;
if (isTerminal) return;
if (!istrivialsplit
&& myScenario.split_logger_prefix != null
&& !myScenario.split_logger_prefix.isEmpty())
split_ratio_logger = new SplitRatioLogger(this);
// initialize the split ratio matrix
// NOTE: SHOULD THIS GO IN RESET?
splitratio_nominal = BeatsMath.zeros(nIn, nOut, myScenario.get.numVehicleTypes());
BeatsMath.normalize(splitratio_nominal);
// default node flow and split solvers
// node_behavior = new NodeBehavior(this,
// new Node_SplitRatioSolver_Greedy(this) ,
// new Node_FlowSolver_LNCTM(this) ,
// new Node_SupplyPartitioner(this) );
}
protected Controller(
Scenario myScenario,
edu.berkeley.path.beats.jaxb.Controller jaxbC,
Controller.Algorithm myType) {
this.myScenario = myScenario;
this.myType = myType;
this.jaxbController = jaxbC;
this.ison = false;
// this.activationTimes=new ArrayList<ActivationTimes>();
this.dtinseconds = jaxbC.getDt() > 0 ? jaxbC.getDt() : myScenario.get.simdtinseconds();
// Copy tables
tables = new java.util.HashMap<String, Table>();
for (edu.berkeley.path.beats.jaxb.Table table : jaxbC.getTable()) {
if (tables.containsKey(table.getName()))
BeatsErrorLog.addError("Table '" + table.getName() + "' already exists");
tables.put(table.getName(), new Table(table));
}
// // Get activation times and sort
// if (jaxbC.getActivationIntervals()!=null)
// for (edu.berkeley.path.beats.jaxb.Interval tinterval :
// jaxbC.getActivationIntervals().getInterval())
// if(tinterval!=null)
// activationTimes.add(new
// ActivationTimes(tinterval.getStartTime(),tinterval.getEndTime()));
// Collections.sort(activationTimes);
// below this does not apply for scenario-less controllers ..............................
if (myScenario == null) return;
samplesteps = BeatsMath.round(dtinseconds / myScenario.get.simdtinseconds());
// read target actuators
actuators = new ArrayList<Actuator>();
actuator_usage = new ArrayList<String>();
if (jaxbC.getTargetActuators() != null
&& jaxbC.getTargetActuators().getTargetActuator() != null) {
for (TargetActuator ta : jaxbC.getTargetActuators().getTargetActuator()) {
Actuator act = myScenario.get.actuatorWithId(ta.getId());
actuators.add(act);
act.setMyController(this);
actuator_usage.add(ta.getUsage() == null ? "" : ta.getUsage());
}
}
// read feedback sensors
sensors = new ArrayList<Sensor>();
sensor_usage = new ArrayList<String>();
if (jaxbC.getFeedbackSensors() != null
&& jaxbC.getFeedbackSensors().getFeedbackSensor() != null) {
for (FeedbackSensor fs : jaxbC.getFeedbackSensors().getFeedbackSensor()) {
sensors.add(getMyScenario().get.sensorWithId(fs.getId()));
sensor_usage.add(fs.getUsage() == null ? "" : fs.getUsage());
}
}
}
protected void validate() {
// check that type was read correctly
if (myType == null)
BeatsErrorLog.addError("Controller with ID=" + getId() + " has the wrong type.");
// validations below this make sense only in the context of a scenario
if (myScenario == null) return;
// check that sample dt is an integer multiple of network dt
if (!BeatsMath.isintegermultipleof(dtinseconds, myScenario.get.simdtinseconds()))
BeatsErrorLog.addError(
"Time step for controller ID="
+ getId()
+ " is not a multiple of the simulation time step.");
// // check that activation times are valid.
// for (int i=0; i<activationTimes.size(); i++ ){
// activationTimes.get(i).validate();
// if (i<activationTimes.size()-1)
// activationTimes.get(i).validateWith(activationTimes.get(i+1));
// }
}
public Double getSplitRatio(int in, int out) {
return BeatsMath.sum(splitratio_nominal[in][out]);
}
public void sample_split_ratio_profile() {
if (has_profile) splitratio_nominal = BeatsMath.copy(my_profile.getCurrentSplitRatio());
}
public void update_flows() {
if (isTerminal) return;
int e, i, j;
Scenario myScenario = myNetwork.getMyScenario();
int numEnsemble = myScenario.get.numEnsemble();
int numVTypes = myScenario.get.numVehicleTypes();
// Select a nominal split ratio from profile, event, or controller
if (istrivialsplit) {
// nominal is all ones
splitratio_nominal = BeatsMath.ones(nIn, nOut, numVTypes);
} else {
sample_split_ratio_profile();
sample_split_controller();
}
for (e = 0; e < numEnsemble; e++) {
Double[][][] splitratio_perturbed;
if (my_profile == null || istrivialsplit) {
splitratio_perturbed = splitratio_nominal; // BeatsMath.nans(nIn,nOut,numVTypes);
} else {
if (!my_profile.isdeterministic()
&& my_profile
.hasConcentrationParameters()) // &&
// my_profile.isCurrentConcentrationParametersValid())
splitratio_perturbed =
SplitRatioPerturber.sampleFromConcentrationParametersOnce(
my_profile.getCurrentConcentration());
else if (!my_profile.isdeterministic() && nOut == 2 && nIn == 1)
splitratio_perturbed =
SplitRatioPerturber.perturb2OutputSplitOnce(splitratio_nominal, my_profile);
else splitratio_perturbed = splitratio_nominal;
}
// compute applied split ratio matrix
Double[][][] splitratio_applied =
istrivialsplit
? splitratio_perturbed
: node_behavior.sr_solver.computeAppliedSplitRatio(splitratio_perturbed, e);
/////////////////////////////////////////////////
// write first to logger
if (split_ratio_logger != null && e == 0) split_ratio_logger.write(splitratio_applied);
/////////////////////////////////////////////////
// compute node flows ..........................................
Node_FlowSolver.IOFlow IOflow =
node_behavior.flow_solver.computeLinkFlows(splitratio_applied, e);
if (IOflow == null) return;
// assign flow to input links ..................................
for (i = 0; i < nIn; i++) input_link[i].setOutflow(e, IOflow.getIn(i));
// assign flow to output links .................................
for (j = 0; j < nOut; j++) output_link[j].setInflow(e, IOflow.getOut(j));
}
}
public void update(Clock clock) {
int i, j;
int e = 0;
if (measured_flow_profile_veh.sample(false, clock))
current_flow_veh = measured_flow_profile_veh.getCurrentSample() * knob;
if (BeatsMath.equals(current_flow_veh, 0d)) {
beta = 0d;
return;
}
// Sf: total demand from "feeds"
Double Sf = 0d;
for (Link link : feeds) Sf += BeatsMath.sum(link.get_out_demand_in_veh(e));
// compute demand to non-measured, total $+phi, and from feed links phi
ArrayList<Double> beta_array = new ArrayList<Double>();
// compute sr normalization factor for feeding links
// for(i=0;i<myNode.getInput_link().length;i++) {
// if (!feeds.contains( myNode.input_link[i]))
// continue;
// alpha_tilde[i] = 0d;
// for (j = 0; j < myNode.nOut; j++)
// if(not_meas.contains( myNode.output_link[j]))
// alpha_tilde[i] += myNode.getSplitRatio(i, j);
// }
// freeflow case
beta_array.add(0d);
beta_array.add(current_flow_veh / Sf);
// rest
for (j = 0; j < myNode.nOut; j++) {
Link outlink = myNode.output_link[j];
// case for the measured
if (not_meas.contains(outlink)) {
double dem_non_feed = 0d; // demand on j from non-feeding links
double dem_feed = 0d; // demand on j from feeding links
for (i = 0; i < myNode.nIn; i++) {
Link inlink = myNode.input_link[i];
// Double alpha_ij = myNode.getSplitRatio(i,j);
Double Si = BeatsMath.sum(inlink.get_out_demand_in_veh(e));
if (feeds.contains(inlink)) dem_feed += Si; // alpha_ij * Si / alpha_tilde[i];
else // otherwise add to total
dem_non_feed += 0d; // alpha_ij * Si;
}
Double R = outlink.get_available_space_supply_in_veh(e);
double num = current_flow_veh * (dem_non_feed + dem_feed);
double den = Sf * R + dem_feed * current_flow_veh;
beta_array.add(den > 0 ? num / den : Double.POSITIVE_INFINITY);
}
}
beta = Math.min(BeatsMath.max(beta_array), 1d);
}
